Dataset: 9.3K articles from Wikipedia (CC BY-SA).
More datasets: Wikipedia | CORD-19

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Made by DATEXIS (Data Science and Text-based Information Systems) at Beuth University of Applied Sciences Berlin

Deep Learning Technology: Sebastian Arnold, Betty van Aken, Paul Grundmann, Felix A. Gers and Alexander Löser. Learning Contextualized Document Representations for Healthcare Answer Retrieval. The Web Conference 2020 (WWW'20)

Funded by The Federal Ministry for Economic Affairs and Energy; Grant: 01MD19013D, Smart-MD Project, Digital Technologies

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Results for Query ‹ Cholesterin granuloma screening ›

Epulis fissuratum – Diagnosis

Contact granuloma – Screening and prevention | Screening and identification

Contact granuloma – Diagnosis | Differential diagnosis

Pyogenic granuloma – Signs and symptoms | Associated conditions

Peripheral giant-cell granuloma – Treatment

Pyogenic granuloma – Prognosis and treatment

Lupus vulgaris – Prognosis

Tuberculous lymphadenitis – Diagnosis

Epulis fissuratum – Prognosis

Lupus vulgaris – Diagnosis

Granuloma annulare – Pathology

Peripheral giant-cell granuloma – Histology

Granuloma annulare – Prognosis and treatment

Inflammatory myofibroblastic tumour – Diagnosis

Majocchi's disease – Diagnosis

Patch-type granuloma annulare – Abstract

Eosinophilic granuloma – Treatment

Fungal sinusitis – Treatment

Giant-cell fibroma – Diagnosis

Fungal sinusitis – Diagnosis

Idiopathic facial aseptic granuloma – Abstract

Keratocystic odontogenic tumour – Diagnosis

Majocchi's disease – Causes and Prevention

Keratocystic odontogenic tumour – Diagnosis | Differential diagnosis

Granuloma faciale – Diagnosis | Differential diagnosis